Literature DB >> 6564085

Analysis of hospital infection surveillance data.

D Birnbaum.   

Abstract

How often infection rates should be calculated and how large a change is required for "significance" are pertinent questions in nosocomial infection surveillance programs. A method is presented which establishes outbreak threshold infection frequencies. Comparison is direct and immediate: computation of rates or use of electronic data processing is not required. We have validated this method, using computer systems, by comparing the distributions of mean weekly incidence and prevalence statistics for each ward by nosocomial infection site in an acute care general hospital against both our theoretical outbreak threshold limits and the distribution of proven infection outbreaks. Sensitive and specific distinction between random variation or sporadic cross-infection and true persisting outbreaks requiring intervention is obtained. This approach provides a simple and timely alternative to intuitive after-the-fact interpretation of infection patterns which is applicable to infection surveillance and cost-effective infection control in hospitals of all sizes.

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Year:  1984        PMID: 6564085     DOI: 10.1017/s0195941700060525

Source DB:  PubMed          Journal:  Infect Control        ISSN: 0195-9417


  4 in total

1.  Number-between g-type statistical quality control charts for monitoring adverse events.

Authors:  J C Benneyan
Journal:  Health Care Manag Sci       Date:  2001-12

2.  Computer-assisted surveillance for detecting clonal outbreaks of nosocomial infection.

Authors:  Donna M Hacek; Ralph L Cordell; Gary A Noskin; Lance R Peterson
Journal:  J Clin Microbiol       Date:  2004-03       Impact factor: 5.948

3.  Binary cumulative sums and moving averages in nosocomial infection cluster detection.

Authors:  Samuel M Brown; James C Benneyan; Daniel A Theobald; Kenneth Sands; Matthew T Hahn; Gail A Potter-Bynoe; John M Stelling; Thomas F O'Brien; Donald A Goldmann
Journal:  Emerg Infect Dis       Date:  2002-12       Impact factor: 6.883

Review 4.  Spatial and temporal analyses to investigate infectious disease transmission within healthcare settings.

Authors:  G S Davis; N Sevdalis; L N Drumright
Journal:  J Hosp Infect       Date:  2014-02-26       Impact factor: 3.926

  4 in total

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